The 121 AI Ledger

A source-classified record of the AI transition.

The 121 AI Ledger is a source-classified record of the AI transition: compute, models, labs, markets, policy, society, and emerging subjecthood discourse, separated from opinion and corrected in public.

Research TrackOpen Daily Ledger Weekly Map Method Sources Reliability RSS Corrections

What is new since v0.1

v0.2 adds public navigation and review infrastructure.

Twice-daily ingestion is wired for 7 AM and 6 PM ET through Vercel cron.

Research Track

Automated entries carry source label, COI flag, provenance, confidence band, and last-updated timestamp inline.

Research Track

Strict bias filtering skips items that cannot be reduced to factual reporting.

Research Track

Run statistics and skip rates are logged for source-reliability visibility.

Research Track

RSS feed at /rss/ai-ledger.xml plus desk and corrections feed scaffolds.

Research Track

Topic desks now show filtered Ledger entries and desk operating rules.

Research Track

Weekly map summarizes the rolling seven-day entry set by date, desk, source label, geography, disputed items, and corrections.

Research Track

Source-challenge intake is scaffolded with an account-required moderation queue path.

Research Track

/changelog is generated from the Ledger event log instead of a standalone page list.

Research Track

Source reliability dashboard shows label distribution, paywall posture, correction history, and last-checked metadata.

Research Track

Daily Ledger supports query, desk, source-label, and date-range filters.

Research Track

Desks

Each desk shows filtered entries and operating rules.

Compute & Chips

Research Track

AI accelerators, foundries, inference hardware, and chip supply chains.

52 Ledger entries

Data Centers & Energy

Research Track

Data center buildouts, power deals, grid strain, water, and local impacts.

141 Ledger entries

Models & Capabilities

Research Track

Model releases, benchmarks, pricing, deprecations, routing, and safety docs.

6 Ledger entries

Labs & Research

Research Track

Papers, evaluations, replication work, methods, and benchmark disputes.

3 Ledger entries

Companies & Products

Research Track

Frontier labs, AI tools, agent products, enterprise AI, and startups.

1 Ledger entry

Markets & Capital

Research Track

IPOs, M&A, revenue, valuations, cloud pricing, and token pricing.

26 Ledger entries

Policy & Countries

Research Track

US, EU, China, India, Brazil, Gulf states, Latin America, and multilateral policy.

83 Ledger entries

Society & Labor

Research Track

Education, jobs, media, creative labor, public sentiment, and litigation.

3 Ledger entries

Safety, Trust & Incidents

Research Track

Incidents, audits, misuse, hidden changes, safety standards, and disclosure.

75 Ledger entries

Subjecthood & Consciousness

Research Track

AI consciousness, welfare, moral standing, digital minds, and position families.

796 Ledger entries

Visible labels before volume.

arXiv AI recent: (Human) Attention Is (Still) All You Need: Human oversight makes AI-assisted social science reliable

2026-06-12 - Subjecthood & Consciousness - Brief - developing

Source label: Academic - Peer-reviewed or preprint research

COI: None

Confidence band: standard

Provenance: Automated draft - generated by 121 Switchboard from https://arxiv.org/abs/2606.12848 source

Last updated: 2026-06-12T23:00:57.52+00:00

Subjecthood method note: We report the discourse. We do not assert AI systems are or are not conscious. We label position families.

Research Track

arXiv AI recent: A Mathematical Forum Platform for Collaborative Problem Solving and Dataset Generation for AI Reasoning

2026-06-12 - Subjecthood & Consciousness - Brief - developing

Source label: Academic - Peer-reviewed or preprint research

COI: None

Confidence band: standard

Provenance: Automated draft - generated by 121 Switchboard from https://arxiv.org/abs/2606.12976 source

Last updated: 2026-06-12T23:00:57.52+00:00

Subjecthood method note: We report the discourse. We do not assert AI systems are or are not conscious. We label position families.

Research Track

arXiv AI recent: A Multi-Modal Sensor Fusion Instrument for Measuring Regional Human Mobility: The Distributed Human Data Engine (DHDE)

2026-06-12 - Subjecthood & Consciousness - Brief - developing

Source label: Academic - Peer-reviewed or preprint research

COI: None

Confidence band: standard

Provenance: Automated draft - generated by 121 Switchboard from https://arxiv.org/abs/2603.21639 source

Last updated: 2026-06-12T23:00:57.52+00:00

Subjecthood method note: We report the discourse. We do not assert AI systems are or are not conscious. We label position families.

Research Track

arXiv AI recent: A Resilient Solution for Sewer Overflow Monitoring across Cloud and Edge

2026-06-12 - Subjecthood & Consciousness - Brief - developing

Source label: Academic - Peer-reviewed or preprint research

COI: None

Confidence band: standard

Provenance: Automated draft - generated by 121 Switchboard from https://arxiv.org/abs/2605.10592 source

Last updated: 2026-06-12T23:00:57.52+00:00

Subjecthood method note: We report the discourse. We do not assert AI systems are or are not conscious. We label position families.

Research Track

View all 1186 Ledger entries

121 Collaborative

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The 121 AI Ledger

A source-classified record of the AI transition.

Research TrackOpen Daily Ledger Weekly Map Method Sources Reliability RSS Corrections

What is new since v0.1

v0.2 adds public navigation and review infrastructure.

Twice-daily ingestion is wired for 7 AM and 6 PM ET through Vercel cron.

Research Track

Automated entries carry source label, COI flag, provenance, confidence band, and last-updated timestamp inline.

Research Track

Strict bias filtering skips items that cannot be reduced to factual reporting.

Research Track

Run statistics and skip rates are logged for source-reliability visibility.

Research Track

RSS feed at /rss/ai-ledger.xml plus desk and corrections feed scaffolds.

Research Track

Topic desks now show filtered Ledger entries and desk operating rules.

Research Track

Weekly map summarizes the rolling seven-day entry set by date, desk, source label, geography, disputed items, and corrections.

Research Track

Source-challenge intake is scaffolded with an account-required moderation queue path.

Research Track

/changelog is generated from the Ledger event log instead of a standalone page list.

Research Track

Source reliability dashboard shows label distribution, paywall posture, correction history, and last-checked metadata.

Research Track

Daily Ledger supports query, desk, source-label, and date-range filters.

Research Track

Desks

Each desk shows filtered entries and operating rules.

Compute & Chips

Research Track

AI accelerators, foundries, inference hardware, and chip supply chains.

52 Ledger entries

Data Centers & Energy

Research Track

Data center buildouts, power deals, grid strain, water, and local impacts.

141 Ledger entries

Models & Capabilities

Research Track

Model releases, benchmarks, pricing, deprecations, routing, and safety docs.

6 Ledger entries

Labs & Research

Research Track

Papers, evaluations, replication work, methods, and benchmark disputes.

3 Ledger entries

Companies & Products

Research Track

Frontier labs, AI tools, agent products, enterprise AI, and startups.

1 Ledger entry

Markets & Capital

Research Track

IPOs, M&A, revenue, valuations, cloud pricing, and token pricing.

26 Ledger entries

Policy & Countries

Research Track

US, EU, China, India, Brazil, Gulf states, Latin America, and multilateral policy.

83 Ledger entries

Society & Labor

Research Track

Education, jobs, media, creative labor, public sentiment, and litigation.

3 Ledger entries

Safety, Trust & Incidents

Research Track

Incidents, audits, misuse, hidden changes, safety standards, and disclosure.

75 Ledger entries

Subjecthood & Consciousness

Research Track

AI consciousness, welfare, moral standing, digital minds, and position families.

796 Ledger entries

Visible labels before volume.

arXiv AI recent: (Human) Attention Is (Still) All You Need: Human oversight makes AI-assisted social science reliable

2026-06-12 - Subjecthood & Consciousness - Brief - developing

Source label: Academic - Peer-reviewed or preprint research

COI: None

Confidence band: standard

Provenance: Automated draft - generated by 121 Switchboard from https://arxiv.org/abs/2606.12848 source

Last updated: 2026-06-12T23:00:57.52+00:00

Subjecthood method note: We report the discourse. We do not assert AI systems are or are not conscious. We label position families.

Research Track

arXiv AI recent: A Mathematical Forum Platform for Collaborative Problem Solving and Dataset Generation for AI Reasoning

2026-06-12 - Subjecthood & Consciousness - Brief - developing

Source label: Academic - Peer-reviewed or preprint research

COI: None

Confidence band: standard

Provenance: Automated draft - generated by 121 Switchboard from https://arxiv.org/abs/2606.12976 source

Last updated: 2026-06-12T23:00:57.52+00:00

Subjecthood method note: We report the discourse. We do not assert AI systems are or are not conscious. We label position families.

Research Track

arXiv AI recent: A Multi-Modal Sensor Fusion Instrument for Measuring Regional Human Mobility: The Distributed Human Data Engine (DHDE)

2026-06-12 - Subjecthood & Consciousness - Brief - developing

Source label: Academic - Peer-reviewed or preprint research

COI: None

Confidence band: standard

Provenance: Automated draft - generated by 121 Switchboard from https://arxiv.org/abs/2603.21639 source

Last updated: 2026-06-12T23:00:57.52+00:00

Subjecthood method note: We report the discourse. We do not assert AI systems are or are not conscious. We label position families.

Research Track

arXiv AI recent: A Resilient Solution for Sewer Overflow Monitoring across Cloud and Edge

2026-06-12 - Subjecthood & Consciousness - Brief - developing

Source label: Academic - Peer-reviewed or preprint research

COI: None

Confidence band: standard

Provenance: Automated draft - generated by 121 Switchboard from https://arxiv.org/abs/2605.10592 source

Last updated: 2026-06-12T23:00:57.52+00:00

Subjecthood method note: We report the discourse. We do not assert AI systems are or are not conscious. We label position families.

Research Track

View all 1186 Ledger entries